Papers
17
Total Citations
172
H-Index
7
About
Yuanfei Zhang is a leading researcher in robotic tactile sensing and dexterous manipulation, with pioneering contributions that bridge soft sensor design and intelligent grasping. His core research spans electromagnetic tactile sensors, adaptive robotic grasping, and haptic exploration—work that has earned over 150 citations across his most influential publications. Zhang’s landmark 2020 paper introduced a novel soft magnetic tactile sensor based on electromagnetic induction, achieving high sensitivity and wide measurement range (37 citations), while his 2022 triaxis electromagnetic tactile sensor offered adjustable sensitivity for robot manipulation (35 citations). He also developed adaptive grasping strategies to handle object pose uncertainty (30 citations) and optimized grasp configurations using haptic exploration data. Beyond tactile sensing, Zhang has contributed to snake robot locomotion, including a Bézier curve-based head-raising method and a spring-like pipe-climbing gait. His early work on finger-tip flexible tactile sensors for anthropomorphic hands laid the foundation for his current focus on scalable, high-performance sensing systems. Zhang’s research is widely recognized for enabling robots to perceive and interact with uncertain environments more reliably, making him a key figure in advancing soft robotics and intelligent manipulation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6Head-Raising Method of Snake Robots Based on the Bézier Curve7 citations · 2020
- 7
- 8A spring-like pipe climbing gait for the snake robot5 citations · 2017
- 9Model recovery of unknown objects from discrete tactile points4 citations · 2016
- 10